[摘 要] 目的：构建程序性死亡受体1（PD-1）高表达的细菌质膜纳米囊泡（BMV）BMV-PD-1，评估其对小鼠肺癌移植瘤组织的靶向性。方法：通过质粒转化将PD-1与膜孔蛋白细胞溶素A（ClyA）融合质粒ClyA-PD-1-EGFP转入大肠杆菌BL21-Codonplus，使用激光共聚焦显微镜、SDS-PAGE和WB法检测融合蛋白ClyA-PD-1-EGFP的表达。提取质膜并采用挤出法，利用挤出器制备BMV-PD-1。采用透射电子显微镜（TEM）、纳米粒子跟踪分析（NTA）技术分别对BMV-PD-1的形态、粒径和膜电位进行检测，用WB鉴定PD-1蛋白的携带情况。采用激光共聚焦成像检测Lewis肺癌LLC细胞对BMV-PD-1的摄取。建立肺癌LLC细胞C57BL/6J小鼠皮下移植瘤模型，采用小动物活体成像系统评估BMV-PD-1的肿瘤靶向性。结果：激光共聚焦显微成像结果显示，质粒ClyA-PD-1-EGFP被转入BL21-Codonplus并成功表达蛋白。SDS-PAGE结果表明，ClyA-PD-1-EGFP在BL21-Codonplus中过表达。WB分析表明，PD-1在细菌中表达且在BMV-PD-1上呈高表达（P < 0.001）状态。NTA和TEM分析表明，BMV-PD-1是一种粒径为（145 ± 14） nm、表面呈负电性的球状囊泡。激光共聚焦成像显示，PD-1高表达能显著提升肺癌细胞对BMV-PD-1的摄取（P < 0.01），小动物活体成像也进一步证实PD-1高表达能有效提升BMV-PD-1的肿瘤靶向性（P < 0.01）。结论：本研究成功构建了PD-1高表达的细菌纳米囊泡BMV-PD-1，发现PD-1高表达可显著提高BMV-PD-1的肺癌LLC细胞移植瘤组织的靶向性，为进一步开发以BMV-PD-1为载体的肿瘤靶向药物递送系统奠定基础。

ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

Objective To investigate the effect of Ophiopogonin D on lipopolysaccharide(LPS)-induced apoptosis of alveolar epithelial cells by regulating the interleukin-6(IL-6)/Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Methods A549 AT Ⅱ cells cultured in vitro were randomly divided into four groups:control group,LPS group,LPS+Ophiopogonin D group,LPS+Ophiopogonin D+colivelin(JAK2/STAT3 signal activator)group,except for the control group,and cells in all other groups were established injury models while being grouped with Ophiopogonin D and colivelin for treatment.Cell counting kit-8(CCK-8)experiment and flow cytometry were applied to detect cell proliferation and apoptosis in each group;Western blotting was applied to detect the expression of IL-6/JAK2/STAT3 signaling pathway proteins of cells in each group.Results The apoptosis rates of A549 cells in control group,LPS group,LPS+Ophiopogonin D group and LPS+Ophiopogonin D+colivelin group were(2.52±0.73)％,(52.43±4.14)％,(1.67±0.52)％and(47.94±3.43)％;IL-6 protein levels were 0.14±0.03,0.49±0.05,0.17±0.04 and 0.45±0.06,and p-JAK2/JAK2 protein levels were 0.17±0.04,0.64±0.08,0.19±0.06 and 0.61±0.07;p-STAT3/STAT3 protein levels were 0.20±0.06,0.69±0.10,0.22±0.07 and 0.65±0.09;the apoptosis rates of AT Ⅱ cells were(3.01±0.69)％,(55.16±3.94)％,(2.35±0.71)％and(50.28±3.78)％;the levels of IL-6 protein were 0.11±0.03,0.87±0.13,0.19±0.04 and 0.84±0.12;the p-JAK2/JAK2 protein levels were 0.13±0.04,0.56±0.08,0.15±0.03 and 0.53±0.07;p-STAT3/STAT3 protein levels were 0.30±0.08,0.79±0.14,0.33±0.09 and 0.75±0.13.The above indexes:control group,LPS+Ophiopogonin D group compared with LPS group,LPS+Ophiopogonin D+colivelin group compared with LPS+Ophiopogonin D group,the differences were statistically significant(all P＜0.05).Conclusion Ophiopogonin D can reduce LPS induced inflammation and oxidative stress levels by inhibiting the activation of IL-6/JAK2/STAT3 signaling pathway,ultimately reducing LPS-induced apoptosis of alveolar epithelial cells.

OBJECTIVE To mine the cardiovascular safety signal of relugolix， and provide a reference for the listing of this drug in China and future clinical safety drug evaluation. METHODS The adverse event （AE） report data of relugolix， as the primary or secondary suspected drug， was collected from the FDA Adverse Event Reporting System （FAERS） from the first quarter of 2021 to the third quarter of 2023. The reporting odds ratio （ROR） method was used for data mining. The AEs in the FAERS database were identified and coded using preferred terms （PT） stated in version 24.0 of the Medical Dictionary for Drug Regulatory Activities （MedDRA）. The AEs of the target drug were identified by the narrow standardized MedDRA query （SMQ） terms and high-level term （HLT）. Sensitivity analysis was conducted using AEs suspected to be primarily or secondarily related to relugolix or related to drug interaction and concomitant drug， and broad SMQ terms. RESULTS A total of 4 354 relugolix-related AE reports were extracted. In the primary analysis， nine SMQ terms were analyzed， involving 2 positive signals such as dyslipidemia and hyperglycemia/new onset diabetes mellitus. Eleven HLTs were analyzed， and three positive signals were detected for three terms including cholesterol analyses， triglyceride analyses and hyperglycemia conditions （non-alternative analysis）. Sensitivity analysis results indicated the reliability of the study findings. CONCLUSIONS Relugolix may induce risk signals related to high blood lipids and high blood glucose， but no moderate risk signals such as hypertension， heart disease， and stroke are found. During relugolix treatment in clinical practice， attention must be paid to hyperlipidemia and hyperglycemia-related AE.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Community-acquired pneumonia (CAP) is the third leading cause of death worldwide and one of the most commonly infectious diseases. Its epidemiological characteristics vary with host and immune status, and corresponding pathogen spectrums migrate over time and space distribution. Meanwhile, with the outbreak of COVID-19, some unconventional treatment strategies are on the rise. This article reviewed the epidemiological characteristics, pathogen spectrum and treatment direction of CAP in China over the years, and aimed to provide guidance for the diagnosis and treatment of CAP in clinical practice.
Humans ; COVID-19 ; Pneumonia/diagnosis* ; Community-Acquired Infections/drug therapy* ; Causality ; Risk Factors

OBJECTIVE: To explore the potential mechanism of Yishen Qutong Granules (YSQTG) for the treatment of esophageal cancer using network pharmacology and experimental research. METHODS: The effective components and molecular mechanism of YSQTG in treating esophageal cancer were expounded based on network pharmacology and molecular docking. The key compound was identified by high-performance liquid chromatography and mass spectrometry (HPLC-MS) to verify the malignant phenotype of the key compounds in the treatment of esophageal cancer. Then, the interaction proteins of key compounds were screened by pull-down assay combined with mass spectrometry. RNA-seq was used to screen the differential genes in the treatment of esophageal cancer by key compounds, and the potential mechanism of key compounds on the main therapeutic targets was verified. RESULTS: Totally 76 effective compounds of YSQTG were found, as well as 309 related targets, and 102 drug and disease interaction targets. The drug-compound-target network of YSQTG was constructed, suggesting that quercetin, luteolin, wogonin, kaempferol and baicalein may be the most important compounds, while quercetin had higher degree value and degree centrality, which might be the key compound in YSQTG. The HPLC-MS results also showed the stable presence of quercetin in YSQTG. By establishing a protein interaction network, the main therapeutic targets of YSQTG in treating esophageal cancer were Jun proto-oncogene, interleukin-6, tumor necrosis factor, and RELA proto-oncogene. The results of cell function experiments in vitro showed that quercetin could inhibit proliferation, invasion, and clonal formation of esophageal carcinoma cells. Quercetin mainly affected the biological processes of esophageal cancer cells, such as proliferation, cell cycle, and cell metastasis. A total of 357 quercetin interacting proteins were screened, and 531 genes were significantly changed. Further pathway enrichment analysis showed that quercetin mainly affects the metabolic pathway, MAPK signaling pathway, and nuclear factor kappa B (NF- κ B) signaling pathway, etc. Quercetin, the key compound of YSQTG, had stronger binding activity by molecular docking. Pull-down assay confirmed that NF- κ B was a quercetin-specific interaction protein, and quercetin could significantly reduce the protein level of NF- κ B, the main therapeutic target. CONCLUSION YSQTG can be multi-component, multi-target, multi-channel treatment of esophageal cancer, it is a potential drug for the treatment of esophageal cancer.
Humans ; Network Pharmacology ; Quercetin ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Esophageal Neoplasms ; Drugs, Chinese Herbal

Objective: To explore risk factors affecting treatment for deep neck space infections (DNSIs) so as to provide guidance for appropriate early managements. Methods: A retrospective cohort study was conducted on inpatients with DNSIs admitted to the Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Qingdao University from March 2013 to February 2021. Patients were divided into surgical and non-surgical groups based on whether they had surgery or not. Information collected included demographic data, disease-related signs and symptoms, treatment history, systemic comorbidities, imaging data and laboratory indicators. Hypothesis testing, univariate Logistic regression and multivariate Logistic regression were used for data processing. Resuts A total of 61 patients were included, including 37 males and 24 females, aged 6-96 years. There were 35 cases (57.4%) in the surgical group and 26 cases (42.6%) in the non-surgical group. Multivariate analysis showed that risk factors for surgery as followings: neck dyskinesia (OR=0.03, 95%CI: 0.00-0.24), dysphagia (OR=0.10, 95%CI: 0.02-0.72), serum white blood cell count≥16.74×10⁹/L (OR=1.18, 95%CI: 1.01-1.39) and interspace gas (OR=0.03, 95%CI: 0.00-0.30). Conclusion: Clinicians should be alert to these risk factors for surgery in the course of treatment and timely surgical treatment for patients who meet the conditions.
Male ; Female ; Humans ; Retrospective Studies ; Neck/surgery* ; Risk Factors ; Deglutition Disorders

Familial hypercholesterolemia (FH) is an autosomal dominant inherited disease caused by abnormal lipoprotein metabolism. Patients with FH have a significantly increased risk of coronary artery disease (CAD) due to long-term exposure to high levels of low-density lipoprotein (LDL). The diagnosis of FH relies heavily on gene detection, and examination of LDL receptor (LDLR) function is of great significance in its treatment. This review summarizes the current advances in the screening, diagnosis, and treatment of FH and functional analysis of LDLR gene mutations.
Humans ; Hyperlipoproteinemia Type II/therapy* ; Coronary Artery Disease ; Lipoproteins, LDL ; Mutation